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Community Dynamics in a Species-Rich Patch of Old-Growth Forest in a Global Changing Scenario

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Community Dynamics in a Species-Rich Patch of Old-Growth Forest in a Global Changing Scenario Acta Botanica Brasilica 27(2): 270-285. 2013. Community dynamics in a species-rich patch of old-growth forest in a global changing scenario Markus Gastauer1,2 and João Augusto Alves Meira Neto1,2,3 Submitted: 26 April, 2012. Accepted: 16 December, 2012 ABSTRACT Ecological theory predicts that, in mature ecosystems, species richness, the number of individuals and the biomass of individuals will remain in a relatively stable state of equilibrium. The aim of this study was to test that theory. In 2001 and 2010, we conducted censuses of all trees with a circumference at breast height ≥ 10 cm in a one-hectare plot in a seasonal semideciduous old-growth forest in southeastern Brazil. We compared the two censuses in terms of species richness and diversity, computing growth, recruitment and mortality rates, as well as gains and losses of basal area. Between 2001 and 2010, species richness declined from 224 to 218 species and the basal area increased from 37.86 to 40.16 m2 ha−1. Overall turnover (the mean difference between mortality and recruitment) was lower than would be expected for a seasonal semideciduous forest, indicating stability and slight successional advance. This interpretation is supported by the observation that pioneer species and canopy species both showed higher mortality than recruitment. However, uncommon species (< 10 individuals in the 2001 census) showed higher mortality than recruitment and became rarer, whereas most species that were abundant in 2001 became more abundant by 2010. These observations, as well as the decline in species richness, although statistically not significant, match the predictions of ecological theory for scenarios in which formerly contiguous ecosystems become fragmented and the remnants become isolated within the landscape. Nevertheless, further censuses are needed in order to test the idea that the observed patterns are not explained by natural oscillations but are consequences of environmental changes related to human activity. Key words: Community dynamics, habitat loss, immigration rate, landscape fragmentation, species richness. Introduction processes of the natural dynamics of the forest (Tabarelli et al. 2004). In addition, changes in resource availability Climate change (IPCC 2007; Matesanz et al. 2010), ha- influence growth, mortality and recruitment of trees within bitat destruction and fragmentation (Wright 2010) threaten forest communities (Ernest et al. 2009). species richness and diversity worldwide. Because tropical Among tropical forests, the Atlantic Forest of Brazil is forests account for the major part of terrestrial biodiversity one of the most diverse ecosystems (Stehmann et al. 2009). (Millennium Ecosystem Assessment 2005), climate change Due to its high degree of endemism and endangered status, is expected to have severe effects on such forests. To outline it is considered a biodiversity hotspot (Myers et al. 2000). and understand the influences of global changes on forest Once covering up to 1,500,000 km2 (Câmara 2005), only communities, their species richness and diversity, it is ne- 11% of the original Atlantic Forest remains, most of it as cessary to conduct long term monitoring studies known small secondary forest patches (Ribeiro et al. 2009). Species- as community dynamics studies (Losos & Leigh Jr. 2004). -rich old-growth forests are extremely rare. Species composition within a given community un- The aim of this study is to test whether the mature tree doubtedly varies over time (Rosenzweig 1995; Hubbell community of the Seu Nico Forest (SNF) shows stability 2001; Magurran 2011). These variations depend on the in the form of dynamic equilibrium over time, in terms disturbance regime (Connell 1978; Molino & Sabatier of community dynamics, such as mortality and recruit- 2001; Machado & Oliveira-Filho 2010), ecological drift and ment rates (Oliveira-Filho et al. 2007); species richness stochasticity (Hubbell 2001). (MacArthur & Wilson 1967); the number of individuals The division of formerly contiguous forests into frag- or zero-sum dynamics (Hubbell 2001); and basal area per ments of variable size and shape also alters the ecological individual (Ernest et al. 2009). 1 Universidade Federal de Viçosa, Departamento de Biologia Vegetal, Laboratório de Ecologia e Evolução das Plantas, Viçosa, MG, Brazil 2 Centro de Ciências Ambientais Floresta-Escola, Frutal, MG, Brazil 3 Author for correspondence: [email protected] Community dynamics in a species-rich patch of old-growth forest in a global changing scenario Methods and is therefore interpreted as spatial turnover, or beta diversity (Condit et al. 1996). For statistical comparison TM Study site of the values, we used Microsoft Excel to perform linear least squares regression. The SNF is a 35 ha patch of species-rich old-growth For both censuses, the biodiversity indices of Simpson forest (20°47’44”S; 42°50’50”W) on the Bom Sucesso Farm, and Shannon-Wiener, as well as Fisher’s alpha, were com- in the town of Viçosa, which is in the state of Minas Gerais, puted with the software EstimateS (Colwell & Coddington Brazil. The owners of the SNF state that it has never been 1994; Colwell 2005). Statistical differences in diversity as logged (Campos et al. 2006). According to the Köppen cli- well as in species richness, basal area and number of indi- mate classification system (Köppen 1948), the climate of the viduals were checked for significance by a two-sample t-test region is type Cwb (Peel et al. 2007), a humid mesothermal after testing for normal distribution by a Shapiro-Wilk test climate with mild, rainy summers and dry winters. The with STATISTCA software, version 7.0 (StatSoft Inc., Tulsa, predominant soils are deeply weathered oxisols, which are OK, USA). Parameters were calculated for each plot. found within a small-scale mosaic of inceptisols on slopes The community dynamics were calculated as proposed and neosols in sedimentation areas of valley bottoms. The by Losos & Lao (2004). To calculate the average growth rate predominant vegetation is characterized as submontane between censuses, the increase in diameter for each tree was seasonal semideciduous forest (Veloso et al. 1991). divided by the interval (in years) between the two censuses. The average growth rate is the average of the growth rates Data collection of all trees meeting the inclusion criteria. The difference in the mortality rate of trees between Within the SNF, a 100 × 100 m (1-ha) area was marked off the censuses is the natural logarithm of the proportional and divided into 100 plots of 10 × 10 m. In an initial census, relationship between the number of trees tagged in the first conducted for all of the plots between October 2000 and March census and that of those surviving to the second census, 2001 (Irsigler 2001), all trees with a circumference at breast divided by the time between the two: height ≥ 10 cm—corresponding to a diameter (DBH) ≥ 3.2 cm—were tagged and identified. Because it is conventional to N In( 1 ) use diameter rather than circumference in the international N literature, we will hereafter refer to the DBH. During a second MR = S T (2) census, carried out between December 2009 and February 2010, we measured the circumference of all surviving indivi- where MR is the mortality rate, NS is the number of survivors duals within the 100 plots. Recruits (individuals that had not (trees that were alive in both censuses), N1 is the NS minus been tagged but met the inclusion criteria) were also tagged and the number of undetected individuals or individuals that identified. Specimens were collected, identified and deposited died between the two censuses, and T is the average interval in the Herbarium of the Federal University of Viçosa (code, between censuses (in years). The rate of tree recruitment VIC). Species nomenclature follows the database compiled by was calculated as follows: Forzza et al. (2012). Species classification follows the Angios- perm Phylogeny Group III guidelines (APG III 2009). N + N In( S R ) N RR = S Data analysis T (3) To compare species richness between the two censuses, where RR is the recruitment rate, and NR is the number of we calculated the species-area relationship using the power new trees appearing between censuses (i.e., recruits). model proposed by Arrhenius (1921) to fit the species- For any given plot, a loss in basal area (defined as the -accumulation curve: area below the 3.2 cm DBH level) resulted from mortality and from stem breakages. To calculate the loss in basal S = cAz (1) area between the two censuses (the total basal area of trees tagged in the first census that had died or whose basal area where S is the number of species; A is the area; and c and z are had otherwise been lost by the time of the second census), constants corresponding to the intercept with the y-axis (c) we employed the following equation: and the slope (z) of the linearized species-area relationship after log transformation of S and A. For the fitting, we AB assessed the average number of species within groups of 2, BA = M (4) loss T 5, 10, 25 and 50 plots, as well as within the study site as a whole (all 100 plots). Only neighboring plots were grouped. where BAloss is the total basal area lost, and ABM is the di- Linearized in logarithmic space, the slope of the species- fference in basal area between the two censuses. Similarly, -area relationship describes the difference between plots a gain in basal area was calculated as follows: Acta bot. bras. 27(2): 270-285. 2013. 271 Markus Gastauer and João Augusto Alves Meira Neto BA – BA Lemos (2008), Lima et al. (2010), Lopes et al. (2002), Maran- BA = S2 S1 gain T (5) gon et al. (2007), Metzger et al. (1997), Norden et al. (2009), Nunes et al. (2003), Oliveira-Filho et al. (2004, 2007), Paula et al.
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